3种茄科入侵植物在我国的潜在地理分布及气候适生性分析
|
摘要
【目的】探究喀西茄(Solanum khasianum)、牛茄子(Solanum capsicoides)和曼陀罗(Datura stramonium)3种茄科入侵植物在我国的分布格局及其主要气候环境影响因子,为3种茄科入侵植物的监测、预警和防控提供科学依据。【方法】获取3种茄科入侵植物在我国的已知分布点,结合生物环境空间数据,利用最大熵模型(MaxEnt)预测其在我国的3 km×3 km分辨率适生性空间分布概率,并分析3种茄科入侵植物地理分布的空间重叠特征及影响其空间分布的主要气候环境因子。【结果】喀西茄、牛茄子和曼陀罗3种茄科入侵植物在我国的入侵分布区广泛,分别占国土面积的20.09%、25.69%和62.49%,但地理分布存在明显空间分异和局部空间重叠。其中,曼陀罗除青藏高原外各地区均有其适生区,而喀西茄和牛茄子主要分布于亚热带地区;喀西茄的适生区主要集中在西南云贵高原,是其入侵的重灾区,尤其是云南、广西、贵州及其周边的省份;牛茄子分布范围较喀西茄广,主要分布在热带和亚热带地区,适生性自南向北逐渐减弱。【结论】我国西南地区是喀西茄和牛茄子入侵的集中适生区和重灾区。3种茄科植物在云贵高原和横断山区均有气候适宜重叠区,是入侵茄科植物的未来重点防疫区。
【Objective】The distribution and climate influence factors of three invasive plants of solanaceae(Solanum khasianum,S. capsicoides and Datura stramonium)in China were studied to provide reference for monitoring,prediction and control of them.【Method】Based on occurrence records of the reported sites of the three species,maximum entropy model(MaxEnt)was applied to predict and analyze the potential geographical distribution of suitable habitats under 3 km×3 km resolution ratio,and the overlapping areas features of the three species and the main climate influence factors for the spatial distribution were analyzed.【Result】The results showed that the distribution areas of S. khasianum,S. capsicoides and D. stramonium were very wide in China,accounting for 20.09%,25.69% and 62.49% of the national territory respectively,but the spatial distributions of these weeds were obviously heterogeneous and partial spaces were overlapping. D.stramonium had its own suitable habitats in all areas except Qinghai-Tibet Plateau. S. khasianum and S. capsicoides were mainly distributed in subtropical regions. S. khasianum were mainly suitable living in Yunnan-Guizhou Plateau,especially Yunnan,Guangxi,Guizhou and surrounding provinces. The distribution range of S. capsicoides was wider than that of S.khasianum,mainly distributed in tropical and subtropical regions,and the degree of climate suitability gradually weakened from south to north.【Conclusion】The south-western China is the major suitable habitats and stricken areas for S. khasianum and S. capsicoides. There are overlapping suitable habitats in Yunnan-Guizhou Plateau and Hengduan Mountainous Region for the three species,therefore these areas should be the key control areas for invasive Solanaceae.
【Objective】The distribution and climate influence factors of three invasive plants of solanaceae(Solanum khasianum,S. capsicoides and Datura stramonium)in China were studied to provide reference for monitoring,prediction and control of them.【Method】Based on occurrence records of the reported sites of the three species,maximum entropy model(MaxEnt)was applied to predict and analyze the potential geographical distribution of suitable habitats under 3 km×3 km resolution ratio,and the overlapping areas features of the three species and the main climate influence factors for the spatial distribution were analyzed.【Result】The results showed that the distribution areas of S. khasianum,S. capsicoides and D. stramonium were very wide in China,accounting for 20.09%,25.69% and 62.49% of the national territory respectively,but the spatial distributions of these weeds were obviously heterogeneous and partial spaces were overlapping. D.stramonium had its own suitable habitats in all areas except Qinghai-Tibet Plateau. S. khasianum and S. capsicoides were mainly distributed in subtropical regions. S. khasianum were mainly suitable living in Yunnan-Guizhou Plateau,especially Yunnan,Guangxi,Guizhou and surrounding provinces. The distribution range of S. capsicoides was wider than that of S.khasianum,mainly distributed in tropical and subtropical regions,and the degree of climate suitability gradually weakened from south to north.【Conclusion】The south-western China is the major suitable habitats and stricken areas for S. khasianum and S. capsicoides. There are overlapping suitable habitats in Yunnan-Guizhou Plateau and Hengduan Mountainous Region for the three species,therefore these areas should be the key control areas for invasive Solanaceae.
引文
陈豪军,陈永森,林聪田,周全光,王春田,甘卫堂.2012.基于Open Modeller-GARP的椰子在中国的适生区预测[J].南方农业学报,43(10):1525-1529.[Chen H J,Chen YS,Lin C T,Zhou Q G,Wang C T,Gan W T.2012.Potential geographic distributions of Cocos nucifera(L.)in China predicted by Open Modeller-GARP[J].Journal of Southern Agricutlutre,43(10):1525-1529.]
邱罗,杨志高,陈伟,熊启明,于洋.2010.广州薇甘菊潜在空间分布预测分析[J].中南林业科技大学学报,30(5):128-133.[Qiu L,Yang Z G,Chen W,Xiong Q M,Yu Y.2010.Forecasting analysis potential space distribution of Mikania micrantha in Guangzhou[J].Journal of Central South University of Forestry&Technology,30(5):128-133.]
万方浩,郭建英,张峰.2009.中国生物入侵研究[M].北京:科学出版社.[Wan F H,Guo J Y,Zhang F.2009.Research on Biological Invasions in China[M].Beijing:Science Press.]
闫小玲,寿海洋,马金双.2012.中国外来入侵植物研究现状及存在的问题[J].植物分类与资源学报,34(3):287-313.[Yan X L,Shou H Y,Ma J S.2012.The problem and status of the alien invasive plants in China[J].Plant Diversity and Resources,34(3):287-313.]
袁着耕,刘影,邵华,赵玉,胡云霞.2017.外来入侵植物刺苍耳各部位的化感作用研究[J].河南农业科学,46(2):73-77.[Yuan Z G,Liu Y,Shao H,Zhao Y,Hu Y X.2017.Allelopathy of each part of invasive plant Xanthium spinosum L.[J].Journal of Henan Agricultural Sciences,46(2):73-77.]
岳茂峰,樊蓓莉,田兴山,冯莉,周先叶,李伟华.2011.广东省农业生态系统外来入侵植物的种类调查与危害评估[J].生物安全学报,20(2):141-146.[Yue M F,Fan B L,Tian X S,Feng L,Zhou X Y,Li W H.2011.Investigation and hazard evaluation of exotic invasive plants in agricultural ecosystems in Guangdong Province[J].Journal of Biosafety,20(2):141-146.]
张杰.2015.鄱阳湖南矶山湿地自然保护区的外来入侵植物调查与分析[J].热带亚热带植物学报,23(4):419-427.[Zhang J.2015.Investigation on the invasive plants in Nanjishan nature reserve of Poyang Lake[J].Journal of Tropical and Subtropical Botany,23(4):419-427.]
张杰,敖子强,吴永明,杨春燕,李敏.2017.中华猕猴桃(Actinidia chinensis)在中国的适生性及其潜在地理分布模拟预测[J].热带地理,37(2):218-225.[Zhang J,Ao ZQ,Wu Y M,Yang C Y,Li M.2017.Predictions of potential geographic distribution of Actinidia chinensis in China base on maximum entropy niche model and ArcGIS[J].Tropical Geography,37(2):218-225.]
邹蓉,韦春强,唐赛春,林春蕊,沈晓琳,岑艳喜.2009.广西茄科外来植物研究[J].亚热带植物科学,38(2):60-63.[Zou R,Wei C Q,Tang S C,Lin C R,Shen X L,Cen YX.2009.Alien species of solanaceae in Guangxi[J].Subtropical Plant Science,38(2):60-63.]
Bosso L,Russo D,Febbraro M D,Cristinzio G,Zoina A.2016.Potential distribution of Xylella fastidiosa in Italy:A maximum entropy model[J].Phytopathologia Mediterranea,55(1):62-72.
Bryson C T,Reddy K N,Byrd J D.2012.Growth,development,and morphological differences among native and nonnative prickly nightshades(Solanum spp.)of the southeastern United States[J].Invasive Plant Science and Management,5(3):341-352.
Harte J,Newman E A.2014.Maximum information entropy:A foundation for ecological theory[J].Trends in Ecology and Evolution,29(7):384-389.
Hulme P E.2009.Trade,transport and trouble:Managing invasive species pathways in an era of globalization[J].Journal of Applied Ecology,46(1):10-18.
Kohara A,Nakajima C,Hashimoto K,Ikenaga T,Tanaka H,Shoyama Y,Yoshida S,Muranaka T.2005.A novel glucosyltransferase involved in steroid saponin biosynthesis in Solanum aculeatissimum[J].Plant Molecular Biology,57(2):225-239.
Macdougall A S,Turkington R.2005.Are invasive species the drivers or passengers of change in degraded ecosystems[J].Ecology,86(1):42-55.
Mack R N,Simberloff D,Lonsdale W M,Evans H,Clout M,Bazzaz F A.2000.Biotic invasions:Causes,epidemiology,global consequences and control[J].Ecological Applications,10(3):689-710.
Merow C,Allen J M,Aiellolammens M,Silander J A.2016.Improving niche and range estimates with Maxent and point process models by integrating spatially explicit information[J].Global Ecology and Biogeography,25(8):1022-1036.
Merow C,Smith M J,Silander J A.2013.A practical guide to MaxEnt for modeling species’distributions:What it does,and why inputs and settings matter[J].Ecography,36(10):1058-1069.
Olckers T.1996.Improved prospects for biological control of three Solanum weeds in South Africa[C]//Moran V C,Hoffmann J H.Proceedings of the IX International Symposium on Biological Control of Weeds:307-312.
Pejchar L,Mooney H A.2009.Invasive species,ecosystem services and human well-being[J].Trends in Ecology and Evolution,24(9):497-504.
Phillips S J,Anderson R P,Schapire R E.2006.Maximum entropy modeling of species geographic distributions[J].Ecological Modelling,190(3-4):231-259.
Phillips S J,Dudík M.2008.Modeling of species distributions with Maxent:New extensions and a comprehensive evaluation[J].Ecography,31:161-175.
Radosavljevic A,Anderson R P.2014.Making better Maxent models of species distributions:Complexity,overfitting and evaluation[J].Journal of Biogeography,41(4):629-643.
Sakai A K,Allendorf F W,Holt J S,Lodge D M,Molofsky J,Baughman S M,Cabin R J,Cohen J E,Ellstrand N C,Mccauley D E,Oneil P O,Parker I M,Thompson J N,Weller S G.2001.The population biology of invasive species[J].Annual Review of Ecology Evolution and Systematics,32(1):305-332.
Searcy C A,Shaffer H B.2016.Do ecological niche models accurately identify climatic determinants of species ranges[J].The American Naturalist,187(4):423-435.
Szymura T H,Szymura M,Zaj?c M,Zaj?c A.2018.Effect of anthropogenic factors,landscape structure,land relief,soil and climate on risk of alien plant invasion at regional scale[J].Science of the Total Environment,626:1373-1381.
Trueman M,Atkinson R,Guezou A,Wurm P.2010.Residence time and human-mediated propagule pressure at work in the alien flora of Galapagos[J].Biological Invasions,12(12):3949-3960.
Vila M,Espinar J L,Hejda M,Hulme P E,Jarosik V,Maron JL,Pergl J,Schaffner U,Sun Y,Pysek P.2011.Ecological impacts of invasive alien plants:A meta-analysis of their effects on species,communities and ecosystems[J].Ecology Letters,14(7):702-708.
Zhang Y,Wang C S,Xie H B,Zhang J,Wu J P.2017.Analyzing spatial variations in land use/cover distributions:Acase study of Nanchang Area,China[J].Ecological Indicators,76:52-63.
邱罗,杨志高,陈伟,熊启明,于洋.2010.广州薇甘菊潜在空间分布预测分析[J].中南林业科技大学学报,30(5):128-133.[Qiu L,Yang Z G,Chen W,Xiong Q M,Yu Y.2010.Forecasting analysis potential space distribution of Mikania micrantha in Guangzhou[J].Journal of Central South University of Forestry&Technology,30(5):128-133.]
万方浩,郭建英,张峰.2009.中国生物入侵研究[M].北京:科学出版社.[Wan F H,Guo J Y,Zhang F.2009.Research on Biological Invasions in China[M].Beijing:Science Press.]
闫小玲,寿海洋,马金双.2012.中国外来入侵植物研究现状及存在的问题[J].植物分类与资源学报,34(3):287-313.[Yan X L,Shou H Y,Ma J S.2012.The problem and status of the alien invasive plants in China[J].Plant Diversity and Resources,34(3):287-313.]
袁着耕,刘影,邵华,赵玉,胡云霞.2017.外来入侵植物刺苍耳各部位的化感作用研究[J].河南农业科学,46(2):73-77.[Yuan Z G,Liu Y,Shao H,Zhao Y,Hu Y X.2017.Allelopathy of each part of invasive plant Xanthium spinosum L.[J].Journal of Henan Agricultural Sciences,46(2):73-77.]
岳茂峰,樊蓓莉,田兴山,冯莉,周先叶,李伟华.2011.广东省农业生态系统外来入侵植物的种类调查与危害评估[J].生物安全学报,20(2):141-146.[Yue M F,Fan B L,Tian X S,Feng L,Zhou X Y,Li W H.2011.Investigation and hazard evaluation of exotic invasive plants in agricultural ecosystems in Guangdong Province[J].Journal of Biosafety,20(2):141-146.]
张杰.2015.鄱阳湖南矶山湿地自然保护区的外来入侵植物调查与分析[J].热带亚热带植物学报,23(4):419-427.[Zhang J.2015.Investigation on the invasive plants in Nanjishan nature reserve of Poyang Lake[J].Journal of Tropical and Subtropical Botany,23(4):419-427.]
张杰,敖子强,吴永明,杨春燕,李敏.2017.中华猕猴桃(Actinidia chinensis)在中国的适生性及其潜在地理分布模拟预测[J].热带地理,37(2):218-225.[Zhang J,Ao ZQ,Wu Y M,Yang C Y,Li M.2017.Predictions of potential geographic distribution of Actinidia chinensis in China base on maximum entropy niche model and ArcGIS[J].Tropical Geography,37(2):218-225.]
邹蓉,韦春强,唐赛春,林春蕊,沈晓琳,岑艳喜.2009.广西茄科外来植物研究[J].亚热带植物科学,38(2):60-63.[Zou R,Wei C Q,Tang S C,Lin C R,Shen X L,Cen YX.2009.Alien species of solanaceae in Guangxi[J].Subtropical Plant Science,38(2):60-63.]
Bosso L,Russo D,Febbraro M D,Cristinzio G,Zoina A.2016.Potential distribution of Xylella fastidiosa in Italy:A maximum entropy model[J].Phytopathologia Mediterranea,55(1):62-72.
Bryson C T,Reddy K N,Byrd J D.2012.Growth,development,and morphological differences among native and nonnative prickly nightshades(Solanum spp.)of the southeastern United States[J].Invasive Plant Science and Management,5(3):341-352.
Harte J,Newman E A.2014.Maximum information entropy:A foundation for ecological theory[J].Trends in Ecology and Evolution,29(7):384-389.
Hulme P E.2009.Trade,transport and trouble:Managing invasive species pathways in an era of globalization[J].Journal of Applied Ecology,46(1):10-18.
Kohara A,Nakajima C,Hashimoto K,Ikenaga T,Tanaka H,Shoyama Y,Yoshida S,Muranaka T.2005.A novel glucosyltransferase involved in steroid saponin biosynthesis in Solanum aculeatissimum[J].Plant Molecular Biology,57(2):225-239.
Macdougall A S,Turkington R.2005.Are invasive species the drivers or passengers of change in degraded ecosystems[J].Ecology,86(1):42-55.
Mack R N,Simberloff D,Lonsdale W M,Evans H,Clout M,Bazzaz F A.2000.Biotic invasions:Causes,epidemiology,global consequences and control[J].Ecological Applications,10(3):689-710.
Merow C,Allen J M,Aiellolammens M,Silander J A.2016.Improving niche and range estimates with Maxent and point process models by integrating spatially explicit information[J].Global Ecology and Biogeography,25(8):1022-1036.
Merow C,Smith M J,Silander J A.2013.A practical guide to MaxEnt for modeling species’distributions:What it does,and why inputs and settings matter[J].Ecography,36(10):1058-1069.
Olckers T.1996.Improved prospects for biological control of three Solanum weeds in South Africa[C]//Moran V C,Hoffmann J H.Proceedings of the IX International Symposium on Biological Control of Weeds:307-312.
Pejchar L,Mooney H A.2009.Invasive species,ecosystem services and human well-being[J].Trends in Ecology and Evolution,24(9):497-504.
Phillips S J,Anderson R P,Schapire R E.2006.Maximum entropy modeling of species geographic distributions[J].Ecological Modelling,190(3-4):231-259.
Phillips S J,Dudík M.2008.Modeling of species distributions with Maxent:New extensions and a comprehensive evaluation[J].Ecography,31:161-175.
Radosavljevic A,Anderson R P.2014.Making better Maxent models of species distributions:Complexity,overfitting and evaluation[J].Journal of Biogeography,41(4):629-643.
Sakai A K,Allendorf F W,Holt J S,Lodge D M,Molofsky J,Baughman S M,Cabin R J,Cohen J E,Ellstrand N C,Mccauley D E,Oneil P O,Parker I M,Thompson J N,Weller S G.2001.The population biology of invasive species[J].Annual Review of Ecology Evolution and Systematics,32(1):305-332.
Searcy C A,Shaffer H B.2016.Do ecological niche models accurately identify climatic determinants of species ranges[J].The American Naturalist,187(4):423-435.
Szymura T H,Szymura M,Zaj?c M,Zaj?c A.2018.Effect of anthropogenic factors,landscape structure,land relief,soil and climate on risk of alien plant invasion at regional scale[J].Science of the Total Environment,626:1373-1381.
Trueman M,Atkinson R,Guezou A,Wurm P.2010.Residence time and human-mediated propagule pressure at work in the alien flora of Galapagos[J].Biological Invasions,12(12):3949-3960.
Vila M,Espinar J L,Hejda M,Hulme P E,Jarosik V,Maron JL,Pergl J,Schaffner U,Sun Y,Pysek P.2011.Ecological impacts of invasive alien plants:A meta-analysis of their effects on species,communities and ecosystems[J].Ecology Letters,14(7):702-708.
Zhang Y,Wang C S,Xie H B,Zhang J,Wu J P.2017.Analyzing spatial variations in land use/cover distributions:Acase study of Nanchang Area,China[J].Ecological Indicators,76:52-63.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |